MPNormal: Most Powerful Test for Normal Distribution
In ACSWR: A Companion Package for the Book "A Course in Statistics with R"
Description
Usage
Arguments
Author(s)
See Also
Description
The most powerful test for a sample from normal distribution is given here. The test is obtained by an application of the Neyman-Pearson lemma.
Usage
1
Arguments
mu0
mean under hypothesis H
mu1
mean under hypothesis K
sigma
standard deviation
n
sample size
alpha
size of the test
Author(s)
Prabhanjan N. Tattar
See Also
t.test
ACSWR documentation built on May 2, 2019, 6:53 a.m.
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Description Usage Arguments Author(s) See Also
Description
The most powerful test for a sample from normal distribution is given here. The test is obtained by an application of the Neyman-Pearson lemma.
Usage
1 |
Arguments
mu0 |
mean under hypothesis H |
mu1 |
mean under hypothesis K |
sigma |
standard deviation |
n |
sample size |
alpha |
size of the test |
Author(s)
Prabhanjan N. Tattar
See Also
t.test
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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